Basic Model of a Behavior Change Mechanism of Action

Ms, Hagger

doi:10.31234/osf.io/9a5k6

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…It is not possible to truly isolate the mechanisms of action of interventions comprising multiple techniques unless the intervention adopts a factorial design which enables testing proposed mechanisms for each technique in isolation. Overall, the basic process model serves a dual purpose: (i) it serves as a template for the a priori specification of the modifiable factors or constructs that are targeted in an intervention (cf., putative intervention target; Aklin et al, 2020;Hagger, 2019a;Nielsen et al, 2018), and expected mechanism by which the intervention is expected to 'work' in changing behavior, consistent with theory; and (ii) provides a template for the kinds of measures and data necessary to test the proposed mechanism of action, and the analyses required to support it.…”

Section: Few Studies and Reviews Provide Strong Data On Behavior Chanmentioning

confidence: 80%

“…Here, we have highlighted some potential solutions to fill these knowledge gaps derived from the meta-reviews and commentaries and further afield. In particular, we advocate a (Hagger, 2019a). Figure 1a represents the mediation of a behavior change method or technique on behavior change through change in a modifiable theory-based factor along with the residual effect of the technique on behavior change.…”

Section: Resultsmentioning

confidence: 99%

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Known knowns and known unknowns on behavior change interventions and mechanisms of action

Hagger

Moyers

McAnally

et al. 2020

Health Psychology Review

139

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Systematic reviews and meta-analyses play an important role in summarizing current research on the efficacy of behavior change interventions and their mechanisms of action. The reviews in this special issue represent a 'step change' in evaluating current evidence on behavior change interventions and mechanisms. This article outlines the findings and emerging issues identified in the reviews ('known knowns'), and summarizes evidence gaps to be addressed in future research ('known unknowns'). Findings indicate that tests of mechanisms of behavior change interventions are not routinely conducted in primary studies and research syntheses; reviews and studies do not sufficiently account for study quality; substantive variability exists in descriptions of intervention content and putative mediators implicated in their mechanisms of action; limited data is available on the efficacy of many behavior change techniques; and moderators of intervention effects and mechanisms are seldom taken into account. Possible solutions include testing effects of isolated behavior change techniques and mechanisms of action; routine evaluation of study quality in behavioral intervention research; development of an evidence base linking behavior change techniques with theory-based constructs that comprise mechanisms of action; adoption of fit-for-purpose methods for synthesizing behavioral intervention mechanisms of action; and routine testing of moderators in intervention research.

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Section: Few Studies and Reviews Provide Strong Data On Behavior Chanmentioning

confidence: 80%

Section: Resultsmentioning

confidence: 99%

Known knowns and known unknowns on behavior change interventions and mechanisms of action

Hagger

Moyers

McAnally

et al. 2020

Health Psychology Review

139

View full text Add to dashboard Cite

show abstract

“…This test of a mechanism of action is illustrated in Fig. 1 ( Hagger, 2019 ). The effect of the intervention on change in the theoretical construct (path a , Fig.…”

Section: Mechanisms Of Actionmentioning

confidence: 99%

Social cognition theories and behavior change in COVID-19: A conceptual review

Hagger

Hamilton

2022

Behaviour Research and Therapy

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Using virtual representations in mHealth application interventions for health-related behaviour change: A systematic review (Preprint)

Taylor¹,

Ranaldi²,

Amirova³

et al. 2021

Preprint

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UNSTRUCTURED Many mobile health application interventions include virtual representations of the self in varying forms, such as agents, or avatars to initiate behaviour change. This review aimed to determine: (i) which virtual representations and digital features are effective in mHealth application interventions, and (ii) whether if any studies implemented specific mechanisms (the psychological causes of change) and BCTs implemented to influence positive behaviour change were identified. Following PRISMA guidelines, a narrative systematic review of empirical studies from ten different databases (ranging from MEDLINE to Cochrane Library) from inception to October 2021, published from any time point, which included a virtual representation mHealth app intervention that addressed and reported a variety of outcome health behaviours. Out of the 2,579 original hits, five eligible studies (total participants = 509), with low to moderate quality were included. It was found that customisable avatar or agent-based interventions that included mechanisms such as motivation, feedback, self-image, and BCTs such as goal setting, and self-monitoring were effective in encouraging behaviour change and app adherence. However, there is limited evidence available to determine to which these influences are a result of the virtual representations, or the intervention design.

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Basic Model of a Behavior Change Mechanism of Action

Cited by 3 publications

References 6 publications

Known knowns and known unknowns on behavior change interventions and mechanisms of action

Known knowns and known unknowns on behavior change interventions and mechanisms of action

Social cognition theories and behavior change in COVID-19: A conceptual review

Using virtual representations in mHealth application interventions for health-related behaviour change: A systematic review (Preprint)

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